The objective of this research is to comprehend the opinions and emotions expressed by football fans regarding Video Assistant Referee (VAR) technology through a Twitter dataset collected using the snscrape Python library, consisting of 28,286 distinct English language tweets from January 2018 to December 2022. Natural language processing techniques were employed to preprocess the data, and two studies were conducted on the dataset. The first study used TextBlob library for sentiment analysis and categorized the tweets into positive, negative, or neutral to assess football fans' sentiment towards VAR over time. The second study used LDA to identify the key topics related to VAR in football. The study found a shift in sentiment from negative to neutral over time and identified various significant topics, including VAR decision-making, implementation, and impact on the game. These findings provide valuable insights into the perceptions and opinions of football fans towards VAR technology, which can be useful for future research and decision-making concerning VAR in football. The research highlights the importance of understanding the impact of technology on decision-making and the potential consequences of over-reliance on technology in football.